Maths and Stats Lab Tutors
Jonathan Owen is a mathematician and statistician who holds a Master of Mathematics degree from Durham University. He is currently in the second year of his PhD on Bayesian uncertainty analysis and decision support for complex models of physical systems in the Department of Mathematical Sciences.
Having studied a variety of maths and statistics modules, Jonathan is suitably positioned to assist with a wide range of mathematical and statistical topics. He has a particular interest in Bayesian statistics, likelihood and statistical modelling, as well as prior experience working with time series and the use of the R programming language. In addition, Jonathan is happy to advise on hypothesis testing and probability.
Atreya Acharyya is an astrophysicist who holds a Masters degree in Physics and Astronomy from Durham University. He is currently in his second year studying towards a PhD in Gamma ray astronomy. He is generally playing around with data from NASA satellites and looking for possible undiscovered galaxies in the universe. He also visits local schools where he does planetarium shows, is a mentor to undergraduates at University College and loves watching football.
A large part of his five years in Durham have involved taking courses in mathematics and applying them in his work. Atreya is happy to provide help on a wide range of mathematical and physics concepts including elementary and advanced calculus, linear algebra, working with complex numbers as well as implementation of these and more in python and other programming languages.
Andrea Simkus is a PhD candidate in the Department of Mathematical Sciences, collaborating with an industrial partner - AstraZeneca. She is researching reproducibility in pharmaceutical product development, employing nonparametric predictive inference, which is a frequentist statistical approach.
Using R on everyday basis, Andrea is happy to guide others through R programming, as well as advice students on effective usage of statistics in their research.
Helena Nandi Formentin is in her 4th year of a dual PhD programme in Statistics (Durham University) and Reservoir Engineering (University of Campinas). Helena has experience with data analysis in different domains, holding degrees in mechanical engineering (Federal University of Santa Catarina), petroleum engineering (Heriot-Watt University), transport and sustainable development (ParisTech).
Having developed projects in a variety of statistics and engineering subjects, Helena is suitably positioned to assist with diverse applied topics requiring analytical and problem-solving skills. She is an active programmer in R language and has experience in Matlab and VBA/Excel. Helena can assist in coding itself but also in structuring algorithms and functions.
Kieran Macfarlane is studying for a PhD at the Centre for Particle Theory in the Department of Mathematical Sciences. He previously completed a BA/MMath in Mathematics from the University of Cambridge. At the moment his research is concerned with holographic duality and generalised global symmetries.
He has studied a wide variety of pure and applied Maths so can help with elementary or advanced topics in Maths and Physics. Kieran is currently a tutor for the Single Maths B course. Outside of the department he enjoys swimming, gyming and learning to play chess!
Leo Cuspinera-Contreras is a PhD student in Physics studying possible phase transitions of the universe enhanced by black holes in higher (more than 4) dimensional models of our universe. He did his BSc in Physics back in Mexico and an MSc in Particles, Strings and Cosmology here in Durham. He enjoys teaching and has been doing it for many years but started as a tutor at the beginning of his PhD, teaching many different courses both in Physics and Maths. He enjoys dancing, hiking and photography.
Mohin Uddin is a mathematician, currently studying for a Masters in Mathematical Sciences at Durham University. Having completed his Bachelors in Mathematics at Lancaster University, he has studied a vast number of modules from topics in Pure Mathematics such as Complex Analysis, Groups & Rings and Combinatorics. He also has experience in many Statistics and Probability modules such as Likelihood Inference.
As he has experience in many areas of Pure Mathematics and Statistics, if students need assistance with understanding complex concepts or with difficult calculus, Mohin is well equipped to provide support. Moreover, he can help students with their questions on the programming language LaTeX.
Monica Hernandez is an industrial and systems engineer who graduated from Tec de Monterrey, Mexico. She is currently studying a PhD in engineering and her research interests are related to the application of optimization techniques and statistics in the integration of electric vehicles with the grid and renewable sources of energy.
She has experience in the automobile industry and has participated in two consultation projects about inventory management and simulation of a manufacturing plant with parametric and non-parametric data for hypothesis testing. She also holds the certification of Green Belt Lean Six Sigma from Arizona State University, USA. Finally, she has done several lab demonstrations at the engineering department and she is happy to answer theoretical and software questions (SPSS, Mathematica, LaTeX, Matlab).
Pradosh Bista completed his undergraduate degree in BSc. Mathematics with Finance from the University of Brighton. Currently, he is doing his masters in Mathematical Sciences at Durham University. His module choices include Partial Differential Equations, Mathematical Finance, Quantum Mechanics, General Relativity, Numerical Differential Equations and Differential Geometry. He is most interested in the application of Mathematics in different fields. Having been a tutor in his former university as well, he is experienced with helping students with problems they are having with their course. He can also assist students with Latex typesetting and has a good knowledge of SQL, Visual Basics and Matlab.
Robin Watson is a PhD student in the Anthropology department studying the evolution of cooperative behaviour. He has a masters degree in Anthropology research methods and an undergraduate BSc in Psychology. Throughout these degrees he has studied several modules covering applied statistics and how they can be used in the context of hypothesis testing. He has previously been involved in teaching for a first-year module in the Anthropology department.
Robin has experience in SPSS and R for analysing data and conducting statistical tests and has recently started learning Python. He is also happy to discuss the designing of experiments in the social sciences and plan how the resulting data might be analysed. He also has experience using Bayesian statistics in R utilising the rethinking package.
Yung-Lin Wang is a PhD student studying economics. He graduated with a masters in economics department from the University of Edinburgh. The subject of his doctorate is economic growth. He particularly interested in human capital, applying personality traits in overlapping generations model.
Yung-Lin is also taking departmental tutorials this year, on the MSc Finance – Financial Modelling and Business Forecasting (Durham). He also provides dissertation consulting support and software support for Business School master students.